Modern Industrial Statistics: With Applications in R, Minitab, and Jmp

ISBN-13: 9781119714903 / Angielski / Twarda / 2021 / 880 str.

Shelemyahu Zacks; Shelemyahu Zacks; Ron S. Kenett

Spis treści

Preface to the third editionPreface to the second edition (abbreviated)Preface to the first edition (abbreviated)List of abbreviationsPart A: Modern Statistics: A Computer Based Approach1 Statistics and Analytics in Modern Industry2 Analyzing Variability: Descriptive Statistics3 Probability Models and Distribution Functions4 Statistical Inference and Bootstrapping5 Variability in Several Dimensions and Regression Models6 Sampling for Estimation of Finite Population Quantities7. Time Series Analysis and Prediction8 Modern analytic methodsPart B: Modern Industrial Statistics: Design and Control of Quality and Reliability9 The Role of Industrial Analytics in Modern Industry10 Basic Tools and Principles of Process Control11 Advanced Methods of Statistical Process Control12 Multivariate Statistical Process Control13 Classical Design and Analysis of Experiments14 Quality by Design15 Computer Experiments16 Reliability Analysis17 Bayesian Reliability Estimation and Prediction18 Sampling Plans for Batch and Sequential InspectionList of R packagesReferencesAuthor indexSubject indexSolution manualAppendices (available on book?s website)Appendix I Intro to R Appendix II Intro to MINITAB and Matrix Algebra Appendix III R scripts Appendix IV mistat Appendix V csv Files Appendix VI MINITAB macros Appendix VII JMP scripts

O autorze

Ron S. Kenett is Chairman of the KPA Group and Senior Research Fellow at the Samuel Neaman Institute, Israel. He is an applied statistician combining expertise in academic, consulting, and business domains. He is a former Professor of Operations Management at The State University of New York at Binghamton, Visiting Scholar at Stanford University, Member of Technical Staff at Bell Laboratories and Director of Statistical Methods for Tadiran Telecom. Ron is a past President of the Israel Statistical Association and of the European Network for Business and Industrial Statistics (ENBIS) and was awarded the 2013 Greenfield Medal by the Royal Statistical Society and the 2018 Box Medal by ENBIS for outstanding contributions to applied statistics. He has authored and co-authored over 250 papers and 14 books.Shelemyahu Zacks is Distinguished Emeritus Professor of Mathematical Sciences at Binghamton University, Binghamton, New York, USA. He has published 10 books and close to 200 papers. Zacks is known for his groundbreaking articles on change-point problems, common mean problems, Bayes sequential strategies, and reliability analysis. His studies on survival probabilities in crossing minefields and his contributions in stochastic visibility in random fields are regarded as fundamental work in naval research and other defense related areas. He has served on the editorial boards of several prestigious journals including JASA, JSPI and Annals of Statistics, and is a Fellow of many associations including the AMS, ASA and AAAS.